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Description
Pinza Lowman o Gerster-Lowman con 1x2 ganchos longitud de 170 a 185 mm
Classification
Material médico. Instrumental de cirugia de especialidades
IMSS product code
537.702.6520.00
Presentation
Pieza
Each circle represents one of the 18 purchases of PINZAS made by the IMSS between 2010 and 2018.
| INSTITUTION | STATE | QUANTITY | TOTAL AMOUNT | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | LAST PURCHASE |
|---|---|---|---|---|---|---|---|
| Delegación Hidalgo Almacen Delegacional En Hidalgo | Hidalgo | 3 | 9,802 MXN | 431.3 MXN | 5.41 % | 0.406 | 28 de julio de 2018 |
| Delegación Veracruz Norte Almacen Delegacional En Veracruz Norte | Veracruz | 2 | 4,092.5 MXN | 399.5 MXN | 18.8 % | 0.376 | 27 de marzo de 2014 |
| Delegación Yucatán Almacen Delegacional En Yucatan | Yucatán | 2 | 24,468.6 MXN | 4,247.8 MXN | 22.9 % | 2.95 | 29 de octubre de 2014 |
| Delegación Chihuahua Almacen Delegacional En Chihuahua | Chihuahua | 1 | 3,449.4 MXN | 1,067.3 MXN | 44.8 % | 0.896 | 22 de octubre de 2013 |
| Delegación Coahuila Almacen Delegacional En Coahuila | Coahuila | 1 | 2,598.4 MXN | 358.4 MXN | 16 % | 0.32 | 4 de noviembre de 2015 |
| Delegación Durango Almacen Delegacional En Durango | Durango | 1 | 20,007.7 MXN | 4,676.1 MXN | 30.5 % | 2.13 | 27 de junio de 2016 |
| Delegación Guanajuato Almacen Delegacional En Guanajuato | Guanajuato | 1 | 5,278 MXN | 741.5 MXN | 16.3 % | 0.327 | 17 de agosto de 2018 |
| Delegación Nayarit Almacen Delegacional En Nayarit | Nayarit | 1 | 1,421 MXN | 358.9 MXN | 33.8 % | 0.338 | 17 de septiembre de 2012 |
| Delegación Nuevo León Almacen Delegacional En Nuevo Leon | Nuevo León | 1 | 16,974 MXN | 3,364.3 MXN | 24.7 % | 1.48 | 7 de mayo de 2018 |
| Delegación Oaxaca Almacen Delegacional En Oaxaca | Oaxaca | 1 | 2,858.2 MXN | - MXN | - | - | 3 de noviembre de 2016 |
| Delegación Quintana Roo Almacen Delegacional En Quintana Roo | Quintana Roo | 1 | 11,588.4 MXN | 869 MXN | 8.11 % | 0.73 | 5 de febrero de 2013 |
| Delegación San Luis Potosí Almacen Delegacional En San Luis Potosi | San Luis Potosi | 1 | 2,923.2 MXN | 541.1 MXN | 22.7 % | 0.454 | 6 de junio de 2013 |
| Delegación Sonora Almacen Delegacional En Sonora | Sonora | 1 | 2,900 MXN | 175.2 MXN | 6.43 % | 0.129 | 25 de junio de 2010 |
| Delegación Zacatecas Almacen Delegacional En Zacatecas | Zacatecas | 1 | 5,684 MXN | 784 MXN | 16 % | 0.64 | 6 de julio de 2017 |
| SUPPLIER | PURCHASES | OVERCOST IN MXN | OVERCOST IN % | LOST QUANTITY | TIME PERIOD |
|---|---|---|---|---|---|
| QUIRURGICA ORTOPEDICA, S. A. DE C. V. | 14 | 12,527.1 MXN | 13.6 % | 7.95 | 2010 - 2018 |
| HEMOST, S. A. DE C. V. | 2 | 1,055.6 MXN | 29.7 % | 0.849 | 2010 - 2012 |
| INSTRUMENTAL E IMPLANTES ORTOPEDICOS S.A. DE C.V. | 1 | 1,067.3 MXN | 44.8 % | 0.896 | 2013 - 2013 |
| MEDIC LEASE, SA DE CV. | 1 | 3,364.3 MXN | 24.7 % | 1.48 | 2018 - 2018 |
Entity type
Instrumental de cirugia de especialidades
Date updated in QQW
3 de octubre de 2022
Source(s)
Part of the project
Organization responsible for the import
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Add this to your code:
library(rjson)
#Read JSON data into R
data <- fromJSON(file="http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.702.6520.00")
Add this to your code:
import json, urllib
#Read JSON data into python
response = urllib2.urlopen('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.702.6520.00')
data = json.loads(response.read())
Add this to your code:
import pandas as pd
#Read JSON data into pandas
df = pd.read_json('http://localhost:10010/v3/products?limit=1&sort=&embed=true&db_prefix=&id=537.702.6520.00')